Facilitating Group-based Adaptation of Shared Workspaces using a Multi-Agent System
نویسندگان
چکیده
In this paper we present an agent-based approach to facilitate context-based adaptations using context information of a group of users. To minimize the effort to collect all relevant information of the current collaboration situation, and the amount of data to be kept, we propose a decentralized, agent-based approach that keeps track of the contextualized state.
منابع مشابه
Integrating heterogeneous agent programming platforms within artifact-based environments
“Agents and Artifacts” (A&A) and CARTAGO are becoming increasingly popular as, respectively, a general-purpose programming model and a related infrastructure for developing shared computational environments in agent-based software systems. However, so far there has been no work on developing multiagent systems (MAS) where agents implemented and deployed in different agent-programming platforms ...
متن کاملUsing a Mobile, Agent-Based Environment to Support Cooperative Software Processes
Cooperative Software Engineering (CSE) means that large-scale, software development and maintenance can be conducted in a distributed organisation or across organisations. CSE can be characterised by distributed process fragments, partly shared workspaces, cooperation planning, and frequent interactions in intra/inter-workspaces. To support CSE processes, we must deal with dynamic, unpredictabl...
متن کاملUser-based Vehicle Route Guidance in Urban Networks Based on Intelligent Multi Agents Systems and the ANT-Q Algorithm
Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...
متن کاملLoad-Frequency Control: a GA based Bayesian Networks Multi-agent System
Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...
متن کاملIdentifying overlapping communities using multi-agent collective intelligence
The proposed algorithm in this research is based on the multi-agent particle swarm optimization as a collective intelligence due to the connection between several simple components which enables them to regulate their behavior and relationships with the rest of the group according to certain rules. As a result, self-organizing in collective activities can be seen. Community structure is crucial...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010